Evidence from Real World Data can improve clinical decision making and lead to significantly reduced risks and better outcomes.
The increasing amount of Real World Data, which is routinely collected by hospitals and GPs, along with data from health insurance claims, national registries and IoT solutions, provides an invaluable resource for evidence-based medicine and drug development. Great opportunities go hand in hand with great data integration challenges. These need to be resolved to better understand population health and patient journeys in order to truly practice value-based healthcare and personalized medicine.
How The Hyve can help
The Observational Health Data Sciences and Informatics (or OHDSI, pronounced "Odyssey") program is a multi-stakeholder, interdisciplinary collaboration aimed to bring out the value of health data through a common data model and large-scale analytics. Leveraging a standardized data model, with corresponding default target vocabularies, ensures data integration over multiple data sources in various formats.
This global community of researchers and practitioners, supported by key institutions and organizations in the field, bases its work on the values of Innovation, Reproducibility, Community, Collaboration, Openness, and Beneficence. In fact, OHDSI is also a suite of open-source tools. The mission of OHDSI is to improve health by empowering a community to collaboratively generate evidence that promotes better health decisions and better care.
As an active member of the OHDSI community, The Hyve advocates the adoption of OHDSI’s open-source ecosystem of tools (OMOP CDM, White Rabbit, Rabbit in a Hat, Usagi, Atlas, Achilles, Athena, Data Quality Dashboard, etc.). Specifically, we are repo owners and maintainers for White Rabbit, Rabbit in a Hat and Usagi. We offer tailored training and workshops to facilitate integration of the suite with existing technologies on premise or in a private Cloud. We support clients during the implementation of the stack and, if necessary, develop custom extensions for specific purposes.
Dealing with real-world data means interpreting large amounts of extremely heterogeneous data, stored in multiple databases built to custom design and purpose. Data harmonization at scale is one of the key challenges we tackle in our business by building and running ETL pipelines and enriching customer data with domain-relevant ontologies. Also, data standards are often bound to a software lifecycle and the prevalence of these standards is connected to the success or will of a specific IT vendor. The Hyve’s consulting services focus on open technologies and individual real-world data landscapes. Our experts can help identify how the choice for a particular data model or open-source solution would impact your data management strategies and governance plans.